Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
A frequency domain approach to registration of aliased images with application to super-resolution
EURASIP Journal on Applied Signal Processing
Efficient and reliable schemes for nonlinear diffusion filtering
IEEE Transactions on Image Processing
Speckle reducing anisotropic diffusion
IEEE Transactions on Image Processing
Oriented Speckle Reducing Anisotropic Diffusion
IEEE Transactions on Image Processing
Characteristic matching-based adaptive fast bilateral filter for ultrasound speckle reduction
Pattern Recognition Letters
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Recently, some diffusion-based filtering methods have been developed such as anisotropic diffusion (AD) or nonlinear diffusion (ND), which can reduce the speckle noise, at the same time, preserve and enhance the edge/borders in ultrasound image However, because of the granular pattern of speckle, it is quite difficult to reduce speckle exactly through diffusion-based methods only In this paper, we propose a super resolution (SR) based ND method We firstly reduce and compound speckle noise in a sequence of ultrasound images by using a fast SR method for ultrasound image After this process, ultrasound speckle is much smaller, and the edge and structure are much clearer as complementary information of different images was used To reduce the noise of the SR improved image, we use a local coherence based ND method In the end, experimental results of the proposed method are compared with some other AD methods to demonstrate its effectiveness.